GPT-4: PyTriton is a Flask/FastAPI-like interface that simplifies the deployment of machine learning models in Python environments using NVIDIA’s Triton Inference Server. The library allows serving models directly from Python through an HTTP/gRPC API, enabling the use of Triton’s performance features such as dynamic batching and response cache. PyTriton is framework-agnostic and can be used with PyTorch, TensorFlow, or JAX. The solution improves the performance of running inference on GPUs for models implemented in Python, making it easier to deploy and manage machine learning models.
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